Health System-Related Factors that Influence Retention in Care among HIV Infected Pregnant Women in Narok County, Kenya.

Autor:	Gakii, Jackline, Menza, Nelson, Maoga, Winfreda Nyamota
Předmět:	CROSS-sectional method QUALITATIVE research LOGISTIC regression analysis QUESTIONNAIRES PREGNANT women JUDGMENT sampling QUANTITATIVE research CHI-squared test PSYCHOLOGY of HIV-positive persons THEMATIC analysis ODDS ratio RESEARCH methodology HEALTH information systems DATA analysis software CONFIDENCE intervals SOCIAL stigma
Zdroj:	Journal of Health, Medicine & Nursing; 2024, Vol. 10 Issue 2, p58-69, 12p
Abstrakt:	Purpose: The aim of the study was to establish the health system-related factors that influence retention in care among HIV infected pregnant women in Narok County, Kenya. Methodology: The study adopted a cross-sectional mixed method design. Purposive sampling method was used to sample the required sample size of 117 HIV infected pregnant women, the participants of the Focus Group Discussions (FGD) and Key Informant Interviews (KII). The study was carried out at Narok County Referral and all the sub-county hospitals in Narok County. A structured questionnaire was used to collect quantitative data. Focus group discussion and KII guides were used to collect qualitative data. Quantitative and qualitative data was analyzed using SPSS version 21 and Nvivo version 14 respectively. Chi square test and logistic regression analysis were used to determine the health system-related factors that influence retention in HIV care. Thematic content analysis was done for qualitative data. The mean age of participants was 30 years (SD=6.48). The study results generated were presented in bar graphs and tables for quantitative data. Results were presented as narrations and triangulated with qualitative data. Findings: This study established that health system-related factors (waiting time, health care workers services and ARV availability) influenced retention in care among HIV infected pregnant women. However, only ARV availability had a significant association with retention in care (P<0.001, OR=0.19). The multiple logistic regression was used to predict the influence of grouped variables. Overall, the model was a significant predictor of retention in care. Health system related factors was found to increase the likelihood of being retained in care (OR=5.14), though not significant predictors of retention in care (P<0.34). Unique Contribution to Theory, Practice and Policy: Health system-related factors particularly ARV drug stocks, healthcare workers staffing and timely access of services should be strengthened in order to avert stock outs, minimize waiting time and follow up patients who miss clinic appointments to increase retention among pregnant women in HIV care. Advocate for policy reforms aimed at addressing structural barriers to retention in care, including increased investment in healthcare infrastructure, workforce capacity building, and integration of HIV services within maternal and child health programs. By aligning policy initiatives with the unique needs of HIV-infected pregnant women, policymakers can foster an enabling environment for retention in care, ultimately contributing to the achievement of national and global HIV/AIDS targets. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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